Nitish Raj
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Nitish Raj

Nitish Raj

Data Engineering Professional

10+ years of experience connecting technology with strategy — building scalable data systems, leading teams, and turning data into decisions.

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What I Work With

Data Engineering

Scalable ETL pipelines, data models, and lakehouse architectures

DevOps & MLOps

CI/CD for data products, test-driven development, and automation

Cloud Architecture

AWS and GCP infrastructure design, serverless, and cost optimization

Analytics & ML

Business intelligence, statistical modeling, and ML-driven insights

Languages

Analysis, automation, and production data work

Python SQL R PySpark Spark

Cloud & Hosting

Cloud platforms, serverless apps, and local cloud development

AWS GCP Cloudflare Vercel LocalStack

Tools

Delivery, orchestration, visualization, and infrastructure workflows

Docker Git Tableau dbt Kubernetes Grafana Terraform Apache Airflow OpenMetadata JupyterHub

Practices

Reliable pipelines, tested changes, and decision-ready data products

ETL CI/CD Data Modeling ML Data Vault 2.0 Parquet Statistical Analysis Time Series Analysis A/B Testing

Experience

06/2024 - Present Data Engineer / AWS Cloud Admin Creos Luxembourg
AWS Redshift dbt Core Airflow Terraform Kubernetes Data Vault 2.0
  • Rebuilding the Redshift data warehouse with Data Vault 2.0, dbt Core, Airflow, and DataOps practices.
  • Operating AWS-native pipelines, lakehouse automation, EKS workloads, and enterprise data catalog services.
08/2018 - 04/2024 Senior Business Intelligence Engineer Amazon
Python AWS Spark Redshift ML Data Modeling
  • Built KPI pipelines and data models across Spark, Redshift, AWS, and Python-backed analytics systems.
  • Improved reporting, operational throughput, ML classification accuracy, and global decision workflows.
07/2015 - 07/2018 Decision Scientist (Consultant) Mu Sigma Business Solutions Pvt Ltd
R Python Tableau Analytics A/B Testing
  • Delivered customer analytics, attribution, A/B testing, and automated Tableau reporting.
  • Used ML, time-series analysis, and SQL/Qlik workflows for marketing and transaction insights.

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